Christophe Zimmer
@chzimmer.bsky.social
Computational biophysicist @ University of Würzburg (Germany) and @ Institut Pasteur (France). Machine Biophotonics Lab (Würzburg). Imaging and Modeling Unit (Paris). Advanced imaging, deep learning in biology, drug discovery.
** Now seeking postdocs **
Join our interdisciplinary and transnational team in Würzburg (Germany) or Paris (France) to drive projects in translational biology and antibiotic drug discovery.
Backgrounds in computational biology, AI, physics, or microbiology are all welcome. Please spread the word.
Join our interdisciplinary and transnational team in Würzburg (Germany) or Paris (France) to drive projects in translational biology and antibiotic drug discovery.
Backgrounds in computational biology, AI, physics, or microbiology are all welcome. Please spread the word.
October 5, 2025 at 9:48 PM
** Now seeking postdocs **
Join our interdisciplinary and transnational team in Würzburg (Germany) or Paris (France) to drive projects in translational biology and antibiotic drug discovery.
Backgrounds in computational biology, AI, physics, or microbiology are all welcome. Please spread the word.
Join our interdisciplinary and transnational team in Würzburg (Germany) or Paris (France) to drive projects in translational biology and antibiotic drug discovery.
Backgrounds in computational biology, AI, physics, or microbiology are all welcome. Please spread the word.
Finally out, our paper on natural language processing for epidemiology:
www.nature.com/articles/s41...
We show how large language models can help determine circumstances of pathogen transmission by extracting epidemiologically relevant information from free text.
1/n
www.nature.com/articles/s41...
We show how large language models can help determine circumstances of pathogen transmission by extracting epidemiologically relevant information from free text.
1/n
July 6, 2025 at 1:43 PM
Finally out, our paper on natural language processing for epidemiology:
www.nature.com/articles/s41...
We show how large language models can help determine circumstances of pathogen transmission by extracting epidemiologically relevant information from free text.
1/n
www.nature.com/articles/s41...
We show how large language models can help determine circumstances of pathogen transmission by extracting epidemiologically relevant information from free text.
1/n
AI4AMR is a collaboration between the labs of Ivo Boneca (microbiology, Institut Pasteur, Paris), Mark Brönstrup (chemistry, Helmholtz Center for Infection Research, Braunschweig) & Christophe Zimmer (computational biology, Univ. of Würzburg and Institut Pasteur).
April 1, 2025 at 9:47 AM
AI4AMR is a collaboration between the labs of Ivo Boneca (microbiology, Institut Pasteur, Paris), Mark Brönstrup (chemistry, Helmholtz Center for Infection Research, Braunschweig) & Christophe Zimmer (computational biology, Univ. of Würzburg and Institut Pasteur).
Building an AI pipeline to accelerate antibiotic drug discovery
(before the Sagrada Familia is completed)
Today is the official start of our ERC Synergy project (AI4AMR) on building an AI-based pipeline to help find new antibiotics against drug-resistant bacteria.
(before the Sagrada Familia is completed)
Today is the official start of our ERC Synergy project (AI4AMR) on building an AI-based pipeline to help find new antibiotics against drug-resistant bacteria.
April 1, 2025 at 9:43 AM
Building an AI pipeline to accelerate antibiotic drug discovery
(before the Sagrada Familia is completed)
Today is the official start of our ERC Synergy project (AI4AMR) on building an AI-based pipeline to help find new antibiotics against drug-resistant bacteria.
(before the Sagrada Familia is completed)
Today is the official start of our ERC Synergy project (AI4AMR) on building an AI-based pipeline to help find new antibiotics against drug-resistant bacteria.